Skip to content

A Model Context Protocol (MCP) server that provides tools for fetching and extracting JSON data from URLs using JSONPath patterns.

Notifications You must be signed in to change notification settings

ackness/fetch-jsonpath-mcp

Repository files navigation

Fetch JSONPath MCP

PyPI Downloads 简体中文

A Model Context Protocol (MCP) server that provides tools for fetching and extracting JSON data from URLs using JSONPath patterns.

🎯 Why Use This?

Reduce LLM Token Usage & Hallucination - Instead of fetching entire JSON responses and wasting tokens, extract only the data you need.

Traditional Fetch vs JSONPath Extract

❌ Traditional fetch (wasteful):

// API returns 2000+ tokens
{
  "data": [
    {
      "id": 1,
      "name": "Alice",
      "email": "alice@example.com", 
      "avatar": "https://...",
      "profile": {
        "bio": "Long bio text...",
        "settings": {...},
        "preferences": {...},
        "metadata": {...}
      },
      "posts": [...],
      "followers": [...],
      "created_at": "2023-01-01",
      "updated_at": "2024-01-01"
    },
    // ... 50 more users
  ],
  "pagination": {...},
  "meta": {...}
}

✅ JSONPath extract (efficient):

// Only 10 tokens - exactly what you need!
["Alice", "Bob", "Charlie"]

Using pattern: data[*].name saves 99% tokens and eliminates model hallucination from irrelevant data.

Installation

For most IDEs, use the uvx tool to run the server.

{
  "mcpServers": {
    "fetch-jsonpath-mcp": {
      "command": "uvx",
      "args": [
        "fetch-jsonpath-mcp"
      ]
    }
  }
}
Install in Claude Code
claude mcp add fetch-jsonpath-mcp -- uvx fetch-jsonpath-mcp
Install in Cursor
{
  "mcpServers": {
    "fetch-jsonpath-mcp": {
      "command": "uvx",
      "args": ["fetch-jsonpath-mcp"]
    }
  }
}
Install in Windsurf

Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.

Windsurf Local Server Connection

{
  "mcpServers": {
    "fetch-jsonpath-mcp": {
      "command": "uvx",
      "args": ["fetch-jsonpath-mcp"]
    }
  }
}
Install in VS Code
"mcp": {
  "servers": {
    "fetch-jsonpath-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["fetch-jsonpath-mcp"]
    }
  }
}

Development Setup

1. Install Dependencies

uv sync

2. Start Demo Server (Optional)

# Install demo server dependencies
uv add fastapi uvicorn

# Start demo server on port 8080
uv run demo-server

3. Run MCP Server

uv run fetch-jsonpath-mcp

Demo Server Data

The demo server at http://localhost:8080 returns:

{
  "foo": [{"baz": 1, "qux": "a"}, {"baz": 2, "qux": "b"}],
  "bar": {
    "items": [10, 20, 30], 
    "config": {"enabled": true, "name": "example"}
  },
  "metadata": {"version": "1.0.0"}
}

Available Tools

get-json

Extract JSON data using JSONPath patterns.

{
  "name": "get-json",
  "arguments": {
    "url": "http://localhost:8080",
    "pattern": "foo[*].baz"
  }
}

Returns: [1, 2]

get-text

Get raw text content from any URL.

{
  "name": "get-text",
  "arguments": {
    "url": "http://localhost:8080"
  }
}

Returns: {"foo": [{"baz": 1, "qux": "a"}, {"baz": 2, "qux": "b"}], "bar": {"items": [10, 20, 30], "config": {"enabled": true, "name": "example"}}, "metadata": {"version": "1.0.0"}}

batch-get-json

Process multiple URLs with different JSONPath patterns.

{
  "name": "batch-get-json",
  "arguments": {
    "requests": [
      {"url": "http://localhost:8080", "pattern": "foo[*].baz"},
      {"url": "http://localhost:8080", "pattern": "bar.items[*]"}
    ]
  }
}

Returns: [[1, 2], [10, 20, 30]]

batch-get-text

Get text content from multiple URLs.

{
  "name": "batch-get-text",
  "arguments": {
    "urls": ["http://localhost:8080", "http://localhost:8080"]
  }
}

Returns: ["JSON content...", "JSON content..."]

JSONPath Examples

This project uses jsonpath-ng for JSONPath implementation.

Pattern Result Description
foo[*].baz [1, 2] Get all baz values
bar.items[*] [10, 20, 30] Get all items
metadata.version ["1.0.0"] Get version

For complete JSONPath syntax reference, see the jsonpath-ng documentation.

🚀 Performance Benefits

  • Token Efficiency: Extract only needed data, not entire JSON responses
  • Faster Processing: Smaller payloads = faster LLM responses
  • Reduced Hallucination: Less irrelevant data = more accurate outputs
  • Cost Savings: Fewer tokens = lower API costs
  • Better Focus: Clean data helps models stay on task

Configuration

Set environment variables:

export JSONRPC_MCP_TIMEOUT=30
export JSONRPC_MCP_HEADERS='{"Authorization": "Bearer token"}'
export JSONRPC_MCP_PROXY="http://proxy.example.com:8080"

Development

# Run tests
pytest

# Check code quality
ruff check --fix

About

A Model Context Protocol (MCP) server that provides tools for fetching and extracting JSON data from URLs using JSONPath patterns.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages